Misinformation Detection

Misinformation Detection is a computational analytical method within Social Media Analytics that identifies false or inaccurate information by distinguishing it from related concepts such as disinformation and rumor through content verification and source credibility assessment.

4.4K

Publications

326.4K

Citations

11.2K

Authors

2.7K

Institutions

Publications per year

2017–2026

3.7K

Authors

11.2K

  1. DG
    David G. Rand

    Massachusetts Institute of Technology, United States

    53 publications · 11.4K citations

    35

    h-index

  2. GP
    Gordon Pennycook

    University of Regina, Canada

    50 publications · 12.9K citations

    33

    h-index

  3. KS
    Kai Shu

    Arizona State University, United States

    40 publications · 9.3K citations

    30

    h-index

  4. HL
    Huan Liu

    Arizona State University, United States

    38 publications · 9.1K citations

    28

    h-index

  5. FM
    Filippo Menczer

    Indiana University Bloomington, United States

    25 publications · 6.6K citations

    21

    h-index

1–5 of 11.2K

Venues

  1. arXiv (Cornell University)

    Repository · 227 publications · 11.2K citations

    52

    h-index

  2. IEEE Access

    98 publications · 6.6K citations

    46

    h-index

  3. Information Processing & Management

    51 publications · 5K citations

    35

    h-index

  4. 32

    h-index

  5. Expert Systems with Applications

    43 publications · 3.4K citations

    30

    h-index

1–5